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Conference Papers Year : 2024

Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC

Abstract

OntoLex, the dominant community standard for machine-readable lexical resources in the context of RDF, Linked Data and Semantic Web technologies, is currently extended with a designated module for Frequency, Attestations and Corpus-based Information (OntoLex-FrAC). We propose a novel component for OntoLex-FrAC, addressing the incorporation of corpus queries for (a) linking dictionaries with corpus engines, (b) enabling RDF-based web services to exchange corpus queries and responses data dynamically, and (c) using conventional query languages to formalize the internal structure of collocations, word sketches, and colligations. The primary field of application of the query extension is in digital lexicography and corpus linguistics, and we present a proof-of-principle implementation in backend components of a novel platform designed to support digital lexicography for the Serbian language.
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Dates and versions

hal-04535067 , version 1 (05-04-2024)

Identifiers

  • HAL Id : hal-04535067 , version 1

Cite

Christian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Serasset. Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), ELRA; ICCL, May 2024, Torino, Italy. pp.2504--2514. ⟨hal-04535067⟩
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